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Positive matches

• 0.031 + - Interdisciplinary research
• 0.029 + - Lexical feature selection
• 0.026 + - Science policy
• 0.022 + - Research advices
• 0.021 + - Word embedding
• 0.017 + - Public health policy
• 0.015 + - Migration
• 0.013 + - Edwin Thompson Jaynes
• 0.013 + - Graph embedding
• 0.012 + - Software engineering
• 0.011 + - Software license
• 0.011 + - Communication
• 0.011 + - CNN
• 0.008 + - Revision control
• 0.008 + - Paper
• 0.008 + - Reproducible research
• 0.007 + - Pointwise mutual information
• 0.006 + - Text analysis
• 0.006 + - Collaborative software
• 0.005 + - NLP

Negative matches

• 0.010 + - Deep learning
• 0.009 + - Residual leanrning
• 0.007 + - Convolutional neural network
• 0.003 + - Beer
• 0.002 + - Artificial neural network
• 0.002 + - Learning
• 0.001 + - Meta learning
• 0.001 + - Generative adversarial network
• 0.001 + - Generative adversarial networks
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - Language
• 0.001 + - Deep learning and graphs
• 0.001 + - Jürgen Schmidhuber
• 0.001 + - Marc'Aurelio Ranzato
• 0.001 + - Andrew Ng
• 0.001 + - Autoencoder
• 0.001 + - Yann LeCun
• 0.001 + - Yoshua Bengio
• 0.001 + - Machine translation
• 0.001 + - Thermostat